All stock codes associated to this product
D0YU0PT, ZGX(D0YU0PT)
HP ZGX Nano G1n AI Station
Accelerate AI workflows with HP ZGX Nano and ZGX Toolkit, high-performance local compute combined with a curated open-source stack for prototyping, fine-tuning and inferencing. Built-in IP discovery, model export and local serving reduce friction, ensuring repeatable, deployment-ready results.
Big AI performance. Tiny footprint.
Prototype, fine-tune, and inference models of up to 200B parameters locally. Powered by NVIDIA GB10 Grace Blackwell Superchip and 128 GB of coherent unified memory, the HP ZGX Nano delivers 1,000 TOPS of FP4 AI performance in a compact desktop.
HP ZGX Toolkit: Accelerate time to results
Move from idea to deployment faster. The ZGX Toolkit streamlines AI workflows by pairing powerful local compute with open-source tools, built-in discovery, and easy exporthelping teams cut friction, boost productivity, and scale results anywhere.
Offload AI workloads without the cloud
Pair existing laptop and desktop systemsWindows, Mac, or Linuxwith a network-connected HP ZGX Nano. Get developer-grade performance without data center queues and costly cloud instances, minimizing latency and keeping sensitive information local.
Advance edge AI solutions
Realize the true potential of edge AI solutions. From real-time computer vision to running agentic and domain-specific models locally, get the performance needed to deploy intelligent, responsive solutions directly where data is generated.
* The HP ZGX Toolkit is provided free of charge. Use requires a client device running Windows 11 or Ubuntu 24.04 (or later) with Visual Studio Code installed and host device ZGX Nano. The client device must be x86-based, but otherwise there are no restrictions regarding hardware specifications or device manufacturer. Availability may vary by region and is subject to applicable local laws, regulations, and restrictions.
* Multi-core is designed to improve performance of certain software products. Not all customers or software applications will necessarily benefit from use of this technology. Performance and clock frequency will vary depending on application workload and your hardware and software configurations.
Specifications
| Card Reader | |
| Dimensions | 15 x 15 x 5.1 cm (without feet); 15 x 15 x 5.45 cm (with feet) |
| Drive Bay | |
| Expansion Slot | |
| Front/Rear Ports | 1 USB Type-C power connector; 3 USB Type-C 20Gbps signaling rate; 1 RJ-45 (10Gbps); 2 QSFP 200 Gbps signaling rate; 1 HDMI 2.1a |
| Graphics | NVIDIA Blackwell GPU Architecture |
| LAN | NVIDIA ConnectX-7 200 GbE Ethernet Controller |
| Memory | 128 GB LPDDR5x-8533 MT/s (onboard) Transfer rates up to 8533 MT/s. |
| Operating System | NVIDIA DGX OS |
| Power Supply | 240 W external USB Type-C power adapter, up to 89% efficiency, active PFC |
| Processor | NVIDIA GB10 Grace Blackwell Superchip (20-core Arm, 10 Cortex-X925 and 10 Cortex-A725) |
| Product Family | HP |
| Product Type | ZGX |
| Storage Capacity | 4 TB PCIe Gen4 NVMe TLC SED M.2 SSD |
| Storage Type | 4 TB PCIe Gen4 NVMe TLC SED M.2 SSD |
| Warranty | HP 3y Exchange WKST Bundled Support |
| Weight | Starting at 1.25 kg |
| Wireless & Bluetooth | MediaTek Wi-Fi 7 MT7925 (2x2) and Bluetooth 5.4 wireless card |
Computer Systems
